Students learn about:
Students learn to:
· analysing - the process by which data can be represented and summarised so that humans can better understand it
· hardware requirements for analysing, including:
o large amounts of primary and secondary storage allowing for fast processing
o fast processors allowing many rapid calculations
· software features for analysis, including:
· searching/selecting data
· sorting
· modelling/simulations
· what-if scenarios
· charts and graphs to identify trends
· file comparison
· non-computer tools, for analysing, including:
· searching manual filing systems
· non-computer models and simulations
· social and ethical issues associated with analysis, including:
· unauthorised analysis of data
· data incorrectly analysed
· erosion of privacy from linking databases for analysis
· identify hardware requirements to carry out a particular type of analysis
· describe the best organisation for data for a particular type of analysis
· use software analysis features in a range of software applications to analyse:
· image
· audio
· video
· text
· numeric data
· compare and contrast computer and non-computer tools for analysis on the basis of:
· speed,
· volume of data that can be analysed
· cost
· analyse data on individuals for the purpose
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Students learn about:
Students learn to:
· analysing - the process by which data can be represented and summarised so that humans can better understand it
· hardware requirements for analysing, including:
o large amounts of primary and secondary storage allowing for fast processing
o fast processors allowing many rapid calculations
· software features for analysis, including:
· searching/selecting data
· sorting
· modelling/simulations
· what-if scenarios
· charts and graphs to identify trends
· file comparison
· non-computer tools, for analysing, including:
· searching manual filing systems
· non-computer models and simulations
· social and ethical issues associated with analysis, including:
· unauthorised analysis of data
· data incorrectly analysed
· erosion of privacy from linking databases for analysis
· identify hardware requirements to carry out a particular type of analysis
· describe the best organisation for data for a particular type of analysis
· use software analysis features in a range of software applications to analyse:
· image
· audio
· video
· text
· numeric data
· compare and contrast computer and non-computer tools for analysis on the basis of:
· speed,
· volume of data that can be analysed
· cost
· analyse data on individuals for the purpose
Analysing Process